mlr_measures: Dictionary of Performance Measures

In mllg/mlr3: Machine Learning in R - Next Generation

Description

A simple mlr3misc::Dictionary storing objects of class Measure. Each measure has an associated help page, see mlr_measures_[id].

This dictionary can get populated with additional measures by add-on packages.

For a more convenient way to retrieve and construct measures, see msr().

Format

R6::R6Class object inheriting from mlr3misc::Dictionary.

Methods

See mlr3misc::Dictionary.

S3 methods

• as.data.table(dict)
  mlr3misc::Dictionary -> data.table::data.table()
  Returns a data.table::data.table() with fields "key", "task_type", "predict_type", and "packages" as columns.

See Also

Example measures: classif.auc, time_train Sugar function: msr()

Other Dictionary: mlr_learners, mlr_resamplings, mlr_task_generators, mlr_tasks

Other Measure: MeasureClassif, MeasureRegr, Measure

Examples

as.data.table(mlr_measures)
mlr_measures$get("classif.ce")
msr("regr.mse")

mllg/mlr3 documentation built on Sept. 27, 2019, 9:38 a.m.